Waits George S, Soliman Elsayed Z
Department of Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC.
Epidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, and Department of Internal Medicine, Cardiology Section, Wake Forest School of Medicine, Winston Salem, NC.
J Electrocardiol. 2017 Jan-Feb;50(1):123-130. doi: 10.1016/j.jelectrocard.2016.09.007. Epub 2016 Sep 12.
The paper electrocardiogram (ECG) has been widely used for cardiac assessment for well over a century. ECGs can be obtained quickly and cheaply. For this reason, an ever-growing amount of paper ECG records continue to accumulate, some of which are stored into a paper-only format. Converting paper ECGs into digital form has been proposed as the most efficient means to store and analyze an otherwise cumbersome paper archive. In this article, a literature review was conducted for conversion algorithms, criticisms of said algorithms, applications, and standardization efforts. The algorithms were compared in tabulated form. Key functions that have advanced the conversion algorithms as well as remaining challenges are discussed.
纸质心电图(ECG)已被广泛用于心脏评估长达一个多世纪。心电图可以快速且廉价地获取。因此,纸质心电图记录的数量不断增加,其中一些仅以纸质形式存储。将纸质心电图转换为数字形式已被提议作为存储和分析原本繁琐的纸质档案的最有效方法。本文对转换算法、对这些算法的批评、应用以及标准化努力进行了文献综述。以表格形式对算法进行了比较。讨论了推动转换算法发展的关键功能以及尚存的挑战。